CT Examination of the Abdomen
Conditions
Brief summary
Purpose: To evaluate the image quality of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT). Methods: CT images of a phantom were reconstructed with Hybrid iterative reconstruction and deep learning image reconstruction (DLIR). The noise power spectrum (NPS) and task transfer function (TTF) were measured. Two patient groups were included in this study: consecutive patients who underwent unenhanced abdominal standard-dose CT reconstructed with hybrid iterative reconstruction (SDCT group) and consecutive patients who underwent unenhanced abdominal LDCT reconstructed of HIR and DLIR (LDCT group). The CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the hepatic parenchyma and paraspinal muscle and abdominal subcutaneous fat were evaluated. Radiologists assessed the subjective image quality and lesion diagnostic confidence using a 5-point Likert scale. Quantitative and qualitative parameters were compared between SDCT and LDCT groups.
Interventions
RADIATIONCT Radiation Doses
Obtaining Low CT Radiation Doses by Adjusting Dose Levels
Sponsors
Wei Li
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No
Inclusion criteria
Abdominal CT examination
Exclusion criteria
pregnancy and lactation for women unstable breath holding
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Results of phantom research | up to six months | Compare the changes in spatial resolution (TTF curve) and noise (NPS curve) between different algorithms |
| Results of human clinical study | up to six months | General information of clinical trial personnel Compare the general information of two groups of subjects, such as age, weight（kg）, height（m）, gender, and BMI (kg/m2). Quantitative image analysis The standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the hepatic parenchyma and paraspinal muscle were evaluated. Qualitative image analysis Two radiologists qualitatively assessed the overall image noise and overall image quality depiction. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Patient demographics | up to six months | Participant demographics: Age (year)/Gender/Body weight (kg) / Body mass index (kg/m2) |
Countries
China
Contacts
Primary Contact((Wei Li[Author])
Backup ContactHui Qi
Outcome results
None listed